Analyse chatmode or prompt files and recommend optimal AI models based on task complexity, required capabilities, and cost-efficiency
原文の言語: 英語
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このリポジトリの skills
SkillsMP は MarieLynneBlock/arcanum-artifex から 305 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
MarieLynneBlock/arcanum-artifex収集済み skill 305 件中 40 件を表示しています。
Analyse chatmode or prompt files and recommend optimal AI models based on task complexity, required capabilities, and cost-efficiency
原文の言語: 英語
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
原文の言語: 英語
Comprehensive toolkit for creating, analysing, and visualising complex networks and graphs in Python. Use when working with network/graph data structures, analysing relationships between entities, computing graph algorithms (shortest paths, centrality,…
原文の言語: 英語
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
原文の言語: 英語
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
原文の言語: 英語
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
原文の言語: 英語
Interactive visualisation library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualisation.
原文の言語: 英語
Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For…
原文の言語: 英語
Power BI semantic modelling assistant for building optimised data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimising model performance. Triggers on…
原文の言語: 英語
Bayesian modelling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
原文の言語: 英語
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
原文の言語: 英語
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML…
原文の言語: 英語
Statistical visualisation with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive…
原文の言語: 英語
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
原文の言語: 英語
Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap),…
原文の言語: 英語
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
原文の言語: 英語
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
原文の言語: 英語
[TODO] Define the specific workflow this skill standardises, including default libraries, quality checks, and expected deliverables.
原文の言語: 英語
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualisation, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
原文の言語: 英語
Generate a complete, production-ready application from an OpenAPI specification
原文の言語: 英語
Applies REST and GraphQL design principles to produce or review an API contract.
原文の言語: 英語
Perform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritised remediation actions.
原文の言語: 英語
Three-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review for hallucination patterns, and produces a structured verification report with source links for…
原文の言語: 英語
Applies a consistent, language-agnostic review framework to any code change. It evaluates code across five dimensions, produces prioritised findings with inline suggestions, and distinguishes blockers (must fix before merge) from improvements (worth…
原文の言語: 英語
Create a formal specification for an existing GitHub Actions CI/CD workflow, optimised for AI consumption and workflow maintenance.
原文の言語: 英語
Get best practices for NUnit unit testing, including data-driven tests
原文の言語: 英語
Get best practices for TUnit unit testing, including data-driven tests
原文の言語: 英語
Get best practices for XUnit unit testing, including data-driven tests
原文の言語: 英語
Ensure .NET/C# code meets best practices for the solution/project.
原文の言語: 英語
Review the C#/.NET code for design pattern implementation and suggest improvements.
原文の言語: 英語
Expert skill for building web-based game engines and games using HTML5, Canvas, WebGL, and JavaScript. Use when asked to create games, build game engines, implement game physics, handle collision detection, set up game loops, manage sprites, add game…
原文の言語: 英語
Use this skill when building or modifying Minecraft server plugins for Paper, Spigot, or Bukkit, including plugin.yml setup, commands, listeners, schedulers, player state, team or arena systems, persistent progression, economy or profile data, configuration…
原文の言語: 英語
Create easy Python scripts that generate beautiful, unique spirograph-style generative art with Matplotlib, support multi-colour or gradient background and main palettes, and always save the result as a PNG. Use when the user asks for creative coding,…
原文の言語: 英語
Analyses git diffs or staged changes and generates narrative commit messages that explain WHY a change was made, not just what changed — following Conventional Commits format. Use when asked to "write a commit message", "generate a commit", "describe my…
原文の言語: 英語
GitHub CLI (gh) comprehensive reference for repositories, issues, pull requests, Actions, projects, releases, gists, codespaces, organisations, extensions, and all GitHub operations from the command line.
原文の言語: 英語
Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2)…
原文の言語: 英語
Intelligent Git Flow branch creator that analyses git status/diff and creates appropriate branches following the nvie Git Flow branching model.
原文の言語: 英語
Generate a comprehensive repository summary and narrative story from commit history
原文の言語: 英語
Covers the full git workflow for a software project: branch naming conventions, commit message authoring (Conventional Commits standard), PR description templates, and merge strategy advice. It produces ready-to-use git artefacts, not generic advice.
原文の言語: 英語
Ensure that Java types are documented with Javadoc comments and follow best practices for documentation.
原文の言語: 英語